Abstract
Recent advances in AI techniques, as well as enabling hardware and infrastructure, has led to the integration of AI in wide-ranging domains and tasks. In particular, AI has been used to handle various types of data (including numerical, textual and image data) and has been adopted in large-scale distributed systems. From a data management perspective, this calls for the harnessing of state-of-the-art AI solutions for data management tasks and systems. aiDM is a full-day workshop that offers a stage for innovative interdisciplinary research that studies the interaction between AI and data management and develops new AI technologies for data-related tasks. This year, aiDM'23 particularly focuses on the transparent exploitation of AI techniques in existing enterprise-level data management workloads.
Original language | English |
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Title of host publication | SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data |
Publisher | Association for Computing Machinery |
Pages | 303-304 |
Number of pages | 2 |
ISBN (Electronic) | 9781450395076 |
DOIs | |
State | Published - Jun 2023 |
Event | 2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023 - Seattle, United States Duration: 18 Jun 2023 → 23 Jun 2023 |
Publication series
Name | Proceedings of the ACM SIGMOD International Conference on Management of Data |
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ISSN (Print) | 0730-8078 |
Conference
Conference | 2023 ACM/SIGMOD International Conference on Management of Data, SIGMOD 2023 |
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Country/Territory | United States |
City | Seattle |
Period | 18/06/23 → 23/06/23 |
Bibliographical note
Publisher Copyright:© 2023 Owner/Author.
Funding
Some authors are financially supported by the Israel Science Foundation (grant no. 2015/21) and a grant from the Israel Ministry of Science and Technology.
Funders | Funder number |
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Israel Science Foundation | 2015/21 |
Ministry of science and technology, Israel |
Keywords
- artificial intelligence
- data management
- machine learning